class_docstr: Stores artifacts on Google Cloud Storage.
  
  :param artifact_uri: URI of GCS bucket
  :param client: Optional. The client to use for GCS operations; a default
                     client object will be created if unspecified, using default
                     credentials as described in https://google-cloud.readthedocs.io/en/latest/core/auth.html
code: def delete_artifacts(self, artifact_path=None):
      (bucket_name, dest_path) = self.parse_gcs_uri(self.artifact_uri)
      if artifact_path:
          dest_path = posixpath.join(dest_path, artifact_path)
  
      gcs_bucket = self._get_bucket(bucket_name)
      blobs = gcs_bucket.list_blobs(prefix=f"{dest_path}")
      for blob in blobs:
          blob.delete()
  
imports: import datetime
  import importlib.metadata
  import os
  import posixpath
  import urllib.parse
  from collections import namedtuple
  from packaging.version import Version
  from mlflow.entities import FileInfo
  from mlflow.entities.multipart_upload import CreateMultipartUploadResponse, MultipartUploadCredential
  from mlflow.environment_variables import MLFLOW_ARTIFACT_UPLOAD_DOWNLOAD_TIMEOUT, MLFLOW_GCS_DEFAULT_TIMEOUT, MLFLOW_GCS_DOWNLOAD_CHUNK_SIZE, MLFLOW_GCS_UPLOAD_CHUNK_SIZE
  from mlflow.exceptions import _UnsupportedMultipartUploadException
  from mlflow.store.artifact.artifact_repo import ArtifactRepository, MultipartUploadMixin
  from mlflow.utils.file_utils import relative_path_to_artifact_path
label_desc: Use image node_id 9 for calling the GCSArtifactRepository obj's underlying member method code with example usage: obj.delete_artifacts(artifact_path) without return types